Diagnostic Category Leakage in Helper Data Schemes for Biometric Authentication

Joep de Groot, Boris Skoric, Niels de Vreede, Jean-Paul Linnartz

2013

Abstract

A helper data scheme (HDS) is a cryptographic primitive that extracts a high-entropy noise-free secret string from noisy data, such as biometrics. A well-known problem is to ensure that the storage of a user-specific helper data string in a database does not reveal any information about the secret. Although Zero Leakage Systems (ZSL) have been proposed, an attacker with a priori knowledge about the enrolled user can still exploit the helper data. In this paper we introduce diagnostic category leakage (DCL), which quantifies what an attacker can infer from helper data about, for instance, a particular medical indication of the enrolled user, her gender, etc. The DCL often is non-zero. Though small per dimension, it can be problematic in high-dimensional biometric authentication systems. Furthermore, partial a priori knowledge on of medical diagnosis of the prover can leak about the secret.

Paper Citation

in Harvard Style

de Groot J., Skoric B., de Vreede N. and Linnartz J. (2013). Diagnostic Category Leakage in Helper Data Schemes for Biometric Authentication . In Proceedings of the 10th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2013) ISBN 978-989-8565-73-0, pages 506-511. DOI: 10.5220/0004524205060511

in Bibtex Style

@conference{secrypt13,
author={Joep de Groot and Boris Skoric and Niels de Vreede and Jean-Paul Linnartz},
title={Diagnostic Category Leakage in Helper Data Schemes for Biometric Authentication},
booktitle={Proceedings of the 10th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2013)},
year={2013},
pages={506-511},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004524205060511},
isbn={978-989-8565-73-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Security and Cryptography - Volume 1: SECRYPT, (ICETE 2013)
TI - Diagnostic Category Leakage in Helper Data Schemes for Biometric Authentication
SN - 978-989-8565-73-0
AU - de Groot J.
AU - Skoric B.
AU - de Vreede N.
AU - Linnartz J.
PY - 2013
SP - 506
EP - 511
DO - 10.5220/0004524205060511